Book Content
chapters • 15h48m total length
1. Building Blocks of Deep Learning
2. Neural Networks
3. Image Classification with Convolutional Neural Networks (CNNs)
4. Deep Learning for Text - Embeddings
5. Deep Learning for Sequences
6. LSTMs, GRUs, and Advanced RNNs
7. Generative Adversarial Networks














